VOLOVLOAutomation risk & transition, task by task
AskOccupationsMajorsBusinessFoundersChangesNotesMethod
Search occupations, majors…
EN
  • English
  • 简体中文
  • 日本語
  • Español
  • Português
  • Français
VLO
VOLO

Understanding how automation changes work — task by task, with the evidence shown and the uncertainty admitted.

AskOccupationsMajorsBusinessFoundersChangesNotesMethodWill AI replace my job?AboutRole diagnosisOpen dataOntologyPro MCPPrivacyTerms
© 2026 VOLO
Occupations
All occupations
AI / software
Translator / InterpreterBank tellerCopywriterContent moderatorCustomer service representativeAdministrative assistantSoftware tester / QA engineerGraphic designerParalegalVideo editorAccountant / BookkeeperMarketing specialistFrontend developerTax preparer / tax agentVoice actorMedical coderData analystInsurance claims handlerTechnical writer / documentation engineerJunior software developerInsurance underwriterHR / recruiterLoan officer / credit officerFinancial analystProcurement / supply chain specialistJournalistSales / account managerReal estate agentIT support specialist / helpdeskAuditorManagement consultantBackend developerAI researcherProduct / UX designerBusiness systems ownerE-commerce operations specialistActuaryRadiologistData engineerLawyerMedical assistant / clinic assistantQuantity surveyorMachine learning engineerExperienced software engineerDevOps / platform / SRE engineerProduct managerPharmacistPartnerships / channel managerSecurity analyst (SOC)Financial adviser / financial plannerCompliance officerLibrarianArchitectFirst-line manager / team supervisorCounsellor / therapistRetail salesperson / shop assistantCivil / structural engineerSecurity guardBus driverInsurance agentSchool teacherGeneral practitioner / primary care doctorAirline pilotWaiter / restaurant serverRadiographer / radiologic technologistAuto mechanic / vehicle technicianPolice officerSonographerAir traffic controllerVeterinarianPhysiotherapist / rehabilitation therapistDentistConstruction workerSocial workerRegistered nurseCare worker / nursing assistantPlumberAI implementation lead
RPA / self-service
Government service clerkOperations coordinatorMetro train driverReceptionist / front desk
Robotics
Retail cashier / shop assistantContainer port workerWarehouse workerAssembly line workerMedical laboratory technicianWelderChef / cookCleaner / janitorFarmerFirefighterCabin crewElectrician
Autonomous driving
Ride-hail / taxi driverTruck driverDelivery rider / courier
Majors
All majorsEnglish / Foreign languagesComputer scienceAccountingPsychologyJournalism / CommunicationFinanceLawVisual communication designMarketingNursingBusiness administrationEducation and teacher trainingArchitecturePublic administrationMedicineHospitality and tourism managementEconomicsInformation systems
Guides
Ask VOLOFor businessFor foundersRecent changesNotesRole diagnosisFirst AI experimentMethod & evidenceAboutFollow an occupationSearch
You are reading as:I have a jobI am studyingI run a companyI am building something
On this pageWhat is happeningTask breakdownRecent changesFor youWhat it means for youWhat you can doHow we knowWhat these rest on
Occupations›Insurance underwriter

Get told when a verified record lands on this occupation →

Insurance underwriter

Decides whether to accept a risk, on what terms and at what price — a person's health for life insurance, a building or a business for property and liability cover. For simple applications much of this is now decided by rules and models: Prudential plc, a large Asian insurer, reported that around 74% of its new business policies were processed through auto-underwriting. Complex and large risks, cases the rules refer out, and explaining a decision to an agent or broker remain underwriters' work.

InsuranceAssessed 2026-09-27
Tasks automating
1of 5
2 being augmented
Still human-led
1of 5
1 new task
Evidence-backed judgements
1of 5
1 verified record
Test this week · first of 3 directions

Count, for one week, how many of your cases came to you as referrals from the automated system, and why each was referred.

See all 3 ↓
62/100
Automation impact indexLow confidence

This is not a probability of losing your job. It combines how much of the role's task load is exposed to automation with how far adoption has actually gone — useful for comparing occupations on one consistent basis, and for nothing else.

Where this applies

Written for underwriters in life, health, property and liability insurance. Insurance agents and claims handlers are separate occupations with their own pages. An insurer's annual filing establishes that most of its new business policies went through automated underwriting; it does not say which products, who reviewed the rest, or whether the number of underwriters changed. The other judgements rest on what underwriting rules and models can do rather than on a measurement of how underwriters' time has changed. Nothing on this page counts underwriters.

What is happening

What is actually changing#

The unit of analysis is the task, not the job title. A role is not replaced — its task mix shifts.

AutomatingBeing augmentedStill human-ledNew taskStriped: our inference, not yet backed by a verified record

Each tile is one task. Its size is how much of the job it is; its colour is where the task is heading. Click a tile to see what the judgement does not establish.

Core task
Underwriting standard applications
Automating✓ Evidence-backed
What this does NOT mean

The filing does not say which products or markets the figure covers, how the rest were handled, or whether any underwriting roles changed.

Read this task in full →Make this your first AI experiment at work →
Core task
Complex and large risks
Being augmented≈ Platform inference
What this does NOT mean

This rests on what underwriting software can do, not on a measurement of how complex cases are now handled.

Read this task in full →Make this your first AI experiment at work →
Significant task
Setting terms, exclusions and loadings
Being augmented≈ Platform inference
What this does NOT mean

This rests on what rating and pricing tools can do, not on a measurement of how often underwriters now change their output.

Read this task in full →Make this your first AI experiment at work →
Significant task
Referrals, agents and brokers
Still human-led≈ Platform inference
What this does NOT mean

This rests on how referral and broker work is done, not on a measurement of how many cases are now referred.

Read this task in full →
Significant task
Maintaining the rules the machine decides by
New task≈ Platform inference
What this does NOT mean

No source yet measures how many underwriters now work on rules and models rather than cases; this is an inference from the direction of the work.

Read this task in full →

Is this your job? Say so and this page narrows to your share of it.

A job title is a bundle of tasks bought together, and no two people hold the same bundle. Nothing is sent anywhere — it stays in this browser.

Underwriting standard applicationsAutomating✓ Evidence-backedComplex and large risksBeing augmented≈ Platform inferenceSetting terms, exclusions and loadingsBeing augmented≈ Platform inferenceReferrals, agents and brokersStill human-led≈ Platform inferenceMaintaining the rules the machine decides byNew task≈ Platform inference

Read all 5 tasks in full — direction, reasoning and limits →

Recent changes#

202420252026today2024-12-31 · DeploymentPrudential plc reported that around 74% of its new business policies were processed through auto-underwriting, with 96% submitted electronically
Can move a judgementCannot move one (forecast, capability demo…)
Deployment2024-12-31Verified 2026-09-26
Prudential plc reported that around 74% of its new business policies were processed through auto-underwriting, with 96% submitted electronically

The insurer's own annual report on Form 20-F for 2024, filed with the SEC on 26 March 2025; Prudential plc sells life and health insurance mainly in Asia, including Singapore. It states that currently around 96 per cent of new business policies are submitted electronically, 78 per cent adopt electronic payment methods and around 74 per cent are processed through auto-underwriting capabilities, and that it aims to increase straight-through processing. It does not say which products or markets the figure covers, how the remaining policies were underwritten, or whether the number of underwriters changed. One insurer, reporting on its own operations in a filing where overstating carries liability.

An employer has put it into production. Can move the baseline — weighted by scale and how similar the setting is.

Prudential plc — Form 20-F for the year ended 2024-12-31, filed 2025-03-26 (SEC EDGAR) ↗Full impact card →
What it means for you

What this means for you#

If you are starting out

If you are starting out, the simple applications that trained junior underwriters are the part automation takes first. Aim for the work around it — complex and commercial risks, referrals, and the rules the automated system runs on — and learn to read what the system decided and why.

If you are experienced

Expect fewer straightforward cases and more referrals, complex risks and questions about the rules. Your judgement about what the guidelines are for is what keeps automated decisions defensible; offer to help set and audit the rules rather than only working the queue they leave.

Your options#

Four directions, each with its real constraints and one thing you can test this week. Continuing as you are is a legitimate choice — it just has to be a chosen one.

Stay and strengthen

Stay an underwriter, and specialise in complex risks

Large sums, medical histories and commercial risks are where the rules refer out and the insurer wants a named person's judgement.

Real constraints

Specialist roles expect years of experience and professional qualifications, and there are fewer of them than there were junior posts.

Test this week

Count, for one week, how many of your cases came to you as referrals from the automated system, and why each was referred.

Reshape the role

Become the person who sets and checks the underwriting rules

Automated underwriting needs someone who understands the risk to decide what the rules say, sample their decisions and explain them to regulators and auditors.

Real constraints

These roles sit close to pricing, data and compliance teams, and may ask for data skills on top of underwriting experience.

Test this week

Ask who in your company owns the automated underwriting rules, and how often their decisions are sampled.

Adjacent move

Move into claims, pricing or risk consulting

Reading a risk carries over to assessing a claim, pricing a product or advising businesses on how to become insurable.

Real constraints

Claims and pricing are being automated too, and risk consulting often expects engineering or industry experience.

Test this week

Find two adverts near you for pricing or risk-consulting roles and note which ask for underwriting experience.

Common questions#

Will AI replace insurance underwriters?

It is taking the straightforward cases: at one large insurer around 74% of new business policies were processed through auto-underwriting. Complex and large risks, referrals, and the rules the automation runs on remain underwriters' work on present evidence.

How long do I have before this job disappears?

We do not answer that with a number of years. There is a signal you can watch instead: whether your insurer automates only the straightforward applications, or starts deciding complex and commercial risks without an underwriter. The first is the change already under way; the second would mean the core of the job is under pressure.

How much underwriting is automated already?

At some insurers, most new policies. Prudential plc's annual filing for 2024 says around 74% of its new business policies were processed through auto-underwriting capabilities. It does not say which products that covers, or who handled the rest.

Is underwriting still a good career to start?

It depends on which part of the work you aim for. Simple applications, the traditional training ground, are the part automation takes first. Complex risks, commercial lines and the rules behind automated decisions depend on an underwriter's judgement and are harder to reach without experience.

How we know

What these judgements rest on#

1 of 5 task judgements on this page are backed by a verified event and 4 are platform inference, each labelled where it appears. Behind them sit 2 technology dimensions, a reconstructed trajectory since language models reached the public, and 1 verified events.

See which technologies, how it got here, and the method →

Where it sits in the official classification: skills, knowledge, related jobs →

Other roles in the same function#

A company divides its work into functions before it divides it into jobs. These sit in Finance alongside this one — a fact about org charts, not a judgement that they are similar or that they are changing in the same direction.

Accountant / Bookkeeper · Auditor · Financial analyst · Loan officer / credit officer · Actuary · Financial adviser / financial planner · Tax preparer / tax agent